Lane Change Modelling with Fuzzy Logic in Microscopic Traffic Simulation

DOI

Abstract

In microscopic traffic simulation, lane change phenomenon is considered as vital in representing individual vehicle behaviour. Many lane change models have not considered the uncertainties and perceptions involved while modelling, which are very important to represent human behaviour. In the present study, these uncertainties and perceptions have been considered to represent lane changing behaviour more realistically. For this purpose, a suitable technique namely fuzzy reasoning has been considered. The comparison with observed data indicated that fuzzy reasoning has produced more realistic driver behaviour compared to standard modelling in lane change. The effectiveness of this technique has also been demonstrated by considering a real urban network.

Journal

  • SCIS & ISIS

    SCIS & ISIS 2006 (0), 919-924, 2006

    Japan Society for Fuzzy Theory and Intelligent Informatics

Keywords

Details 詳細情報について

  • CRID
    1390001205588951552
  • NII Article ID
    130004672661
  • DOI
    10.14864/softscis.2006.0.919.0
  • Text Lang
    en
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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